{"id":"W3114760961","doi":"10.3389/fsoc.2020.610355","title":"COVID-19 in New Mexico Tribal Lands: Understanding the Role of Social Vulnerabilities and Historical Racisms","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sociology","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Indigenous; Vulnerability (computing); Economic growth; Geography; Pandemic; Public health; Health equity; Development economics; Social vulnerability; Political science; Socioeconomics; Sociology; Coronavirus disease 2019 (COVID-19); Health care; Medicine; Disease; Ecology; Psychological intervention; Infectious disease (medical specialty); Economics; Biology; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001888788,0.0002512872,0.0002675282,0.001081775,0.002763852,0.001930914,0.000630405,0.0004989447,0.001422748],"category_scores_gemma":[0.003975397,0.0001672658,0.0003903411,0.001106914,0.001837693,0.002494029,0.002870221,0.00122991,0.00006489579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003384175,"about_ca_system_score_gemma":0.004716442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1861703,"about_ca_topic_score_gemma":0.3160525,"domain_scores_codex":[0.9992433,0.0002925195,0.00002315739,0.0001278194,0.00006719318,0.0002461883],"domain_scores_gemma":[0.998365,0.0004443753,0.0006113551,0.0000968591,0.000225522,0.0002569235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003865203,0.0001169583,0.8575917,0.000172095,0.0001028692,0.0004422191,0.1060562,0.0002754361,0.0003055932,0.004121251,0.001305538,0.02947159],"study_design_scores_gemma":[0.000002325609,0.0000393008,0.8558909,0.000324724,0.00004613465,0.000104372,0.1367112,0.0005665026,0.00008758441,0.00168298,0.004525298,0.00001867195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941549,0.0007900806,0.0001720714,0.002830957,0.00001553298,0.00001046712,0.0001092459,0.000001979276,0.001914749],"genre_scores_gemma":[0.9984464,0.000776588,0.0002314074,0.0002142268,0.00001595354,0.0000186563,0.00006783055,0.000001783176,0.0002272014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861703,"threshold_uncertainty_score":0.3701733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2433661655758965,"score_gpt":0.4270864769758589,"score_spread":0.1837203113999623,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}